“In July, a team of scientists from Queen Mary University of London reported they had trained a neural network to determine musical genres with 75% accuracy by feeding it with 6,600 songs in three genres: ballad, dance, and hip-hop. Then they tore apart the layers of the computer’s neural … Read entire story.
Source: MUSIC – ArtsJournal